@zbyte64 where am I wrong? The process is effectively the same: you get a set of training data (a textbook) and a set of validation data (a test) and voila, I’m trained
To learn how to draw an image of a thing, you look at the thing a lot (training data) and try sketching it out (validation data) until it’s right
How the data is acquired is irrelevant, I can pirate the textbook or trespass to find a particular flower, that doesn’t mean I’m learning differently than someone who paid for it
Do we assume everything read in a textbook is correct? When we get feedback on drawing, do we accept the feedback as always correct and applicable? We filter and groom data for the AI so it doesn’t need to learn these things.
@zbyte64 where am I wrong? The process is effectively the same: you get a set of training data (a textbook) and a set of validation data (a test) and voila, I’m trained
To learn how to draw an image of a thing, you look at the thing a lot (training data) and try sketching it out (validation data) until it’s right
How the data is acquired is irrelevant, I can pirate the textbook or trespass to find a particular flower, that doesn’t mean I’m learning differently than someone who paid for it
Do we assume everything read in a textbook is correct? When we get feedback on drawing, do we accept the feedback as always correct and applicable? We filter and groom data for the AI so it doesn’t need to learn these things.